How to integrate
Place EvaluatorDPT between the decision input and the downstream action so the output can govern behavior.
EvaluatorDPT™
Simple Machine Mind
Auditable, Policy-Aware Decision Control for Autonomous Systems
Integration
Integration guides for production teams
This page shows a recommended way to connect EvaluatorDPT into a workflow, with clear boundaries, clear ownership, and clear operational expectations.
What to define first
Identify the decision point, the expected labels, and the conditions where the system must defer or escalate.
What to verify
Confirm auth, latency, monitoring, support ownership, and fallback behavior before production rollout.
Recommended integration flow
- Submit the decision input payload from a trusted backend.
- EvaluatorDPT applies policy-aware decision control and returns the result.
- Your application routes the next step based on the returned label and metadata.
- Use the Trust Center to align legal and operational expectations.
Implementation checklist
- Define the decision boundary and the labels you expect back.
- Document policy controls and fallback behavior.
- Validate authentication and secret handling.
- Confirm monitoring, alerting, and support ownership.
- Review legal and privacy expectations before go-live.
Use this checklist to prepare the integration path, ownership, and production readiness.